You are viewing a preview of this job. Log in or register to view more details about this job.

Machine Learning - Internship

Are you passionate about machine learning and its potential to revolutionize the marketing landscape? Do you want to be a part of a dynamic team that aims to bring transparency and standardization to the marketing industry? If so, then our Machine Learning Internship at Jelloow.com is the perfect opportunity for you!

About Us:
Jelloow.com is a cutting-edge platform dedicated to creating transparency and fostering a common marketing language between companies and marketing agencies. Our goal is to empower businesses to make data-driven decisions and optimize their marketing strategies effectively.

Internship Overview:
As a Machine Learning Intern, you will have the chance to work closely with our experienced team of data scientists and developers to develop and implement machine learning models. You will be involved in creating innovative solutions that enable businesses to gain valuable insights from marketing data, ultimately streamlining decision-making processes for our clients.
Responsibilities:
  1. Collaborate with the data science team to research, design, and develop machine learning algorithms that enhance marketing analytics and decision-making processes.
  2. Assist in preprocessing, cleaning, and structuring large datasets to ensure optimal model performance and accuracy.
  3. Conduct exploratory data analysis to identify patterns, trends, and potential opportunities for improvement.
  4. Participate in model evaluation and performance optimization to achieve the best possible results.
  5. Support the integration of machine learning models into our platform, ensuring seamless deployment and usability.
  6. Stay up-to-date with the latest advancements in machine learning and marketing analytics to continuously improve our offerings.

Check with your school's Internship Coordinator BEFORE accepting the hiring offer to determine if this position satisfies the criteria for receiving academic credit.